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Cutting an AI Agent's MCP Stack to Only the Servers It Needs

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A guide from the Zenrows blog argues that trimming an agent's MCP server stack changes its behavior for the better. Each connected tool consumes context, and a crowded tool list can lead an agent to choose the wrong one, especially when two servers overlap in function. The recommended approach is to keep a single server per capability, such as Zenrows for web data and browser automation, Mem0 for memory, GitHub for code, and Supabase for databases. Remote servers connect via URL with OAuth, while local ones run as subprocesses through npx or Docker. The article presents these recommendations as a practical way to make agents more reliable.

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